Rudolph Triebel

Orcid: 0000-0002-7975-036X

Affiliations:
  • TU Munich, Department of Informatics, Germany


According to our database1, Rudolph Triebel authored at least 137 papers between 2003 and 2024.

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Bibliography

2024
Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments.
CoRR, 2024

A Flow-based Credibility Metric for Safety-critical Pedestrian Detection.
CoRR, 2024

A Safety-Adapted Loss for Pedestrian Detection in Automated Driving.
CoRR, 2024

2023
SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM.
IEEE Robotics Autom. Lett., October, 2023

A survey of uncertainty in deep neural networks.
Artif. Intell. Rev., October, 2023

An ORB-SLAM3-based Approach for Surgical Navigation in Ureteroscopy.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Learning Fluid Flow Visualizations From In-Flight Images With Tufts.
IEEE Robotics Autom. Lett., June, 2023

IndoorMCD: A Benchmark for Low-Cost Multi-Camera SLAM in Indoor Environments.
IEEE Robotics Autom. Lett., March, 2023

BlenderProc2: A Procedural Pipeline for Photorealistic Rendering.
J. Open Source Softw., March, 2023

Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities.
Field Robotics, January, 2023

Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly.
CoRR, 2023

Out-of-Distribution Detection for Adaptive Computer Vision.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Learning-Based Real-Time Torque Prediction for Grasping Unknown Objects with a Multi-Fingered Hand.
IROS, 2023

6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics.
IROS, 2023

Fusing Visual Appearance and Geometry for Multi-Modality 6DoF Object Tracking.
IROS, 2023

Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning.
IROS, 2023

3D Semantic Scene Reconstruction from a Single Viewport.
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, 2023

Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

A Temporal Perspective n-Point Problem with Model Uncertainties for Cooperative Pose Estimation in a Heterogeneous Robot Team.
Proceedings of the European Conference on Mobile Robots, 2023

Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning.
Proceedings of the Conference on Robot Learning, 2023

2022
GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps.
Field Robotics, March, 2022

Challenges of SLAM in Extremely Unstructured Environments: The DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset.
IEEE Robotics Autom. Lett., 2022

Model for Multi-View Residual Covariances Based on Perspective Deformation.
IEEE Robotics Autom. Lett., 2022

SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World.
Int. J. Comput. Vis., 2022

Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities.
CoRR, 2022

A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures.
CoRR, 2022

A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

The Probabilistic Robot Kinematics Model and its Application to Sensor Fusion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Towards Safety-Aware Pedestrian Detection in Autonomous Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

RECALL: Rehearsal-free Continual Learning for Object Classification.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Bayesian Active Learning for Sim-to-Real Robotic Perception.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

The impact of averaging logits over probabilities on ensembles of neural networks.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Regularization Strength Impact on Neural Network Ensembles.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
The MADMAX data set for visual-inertial rover navigation on Mars.
J. Field Robotics, 2021

Making Curiosity Explicit in Vision-based RL.
CoRR, 2021

Bridging the Last Mile in Sim-to-Real Robot Perception via Bayesian Active Learning.
CoRR, 2021

Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Unknown Object Segmentation from Stereo Images.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning to Localize in New Environments from Synthetic Training Data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Exploration of Large Outdoor Environments Using Multi-Criteria Decision Making.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

DOT: Dynamic Object Tracking for Visual SLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Instance Segmentation in CARLA: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Approaches for Localization on Multi-camera Systems in Dynamic Environments.
Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021

Learning-Based Matching of 3D Submaps from Dense Stereo for Planetary-Like Environments.
Proceedings of the 20th International Conference on Advanced Robotics, 2021

From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration.
IEEE Robotics Autom. Lett., 2020

Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras.
IEEE Robotics Autom. Lett., 2020

ARDEA - An MAV with skills for future planetary missions.
J. Field Robotics, 2020

Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection.
Int. J. Comput. Vis., 2020

Bayesian Optimization Meets Laplace Approximation for Robotic Introspection.
CoRR, 2020

Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry.
CoRR, 2020

Sensor Artificial Intelligence and its Application to Space Systems - A White Paper.
CoRR, 2020

Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks.
CoRR, 2020

Effective Version Space Reduction for Convolutional Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Robust Vision-Based Pose Correction for a Robotic Manipulator Using Active Markers.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Robust MUSIC-Based Sound Source Localization in Reverberant and Echoic Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Visual-Inertial Telepresence for Aerial Manipulation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Estimating Model Uncertainty of Neural Networks in Sparse Information Form.
Proceedings of the 37th International Conference on Machine Learning, 2020

3D Scene Reconstruction from a Single Viewport.
Proceedings of the Computer Vision - ECCV 2020, 2020

Multi-Path Learning for Object Pose Estimation Across Domains.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Information-Driven Direct RGB-D Odometry.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Incremental learning of EMG-based control commands using Gaussian Processes.
Proceedings of the 4th Conference on Robot Learning, 2020

Self-Supervised Object-in-Gripper Segmentation from Robotic Motions.
Proceedings of the 4th Conference on Robot Learning, 2020

Non-Parametric Calibration for Classification.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Multi-path Learning for Object Pose Estimation Across Domains.
CoRR, 2019

Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks.
Proceedings of the Robotics Research, 2019

Visual Repetition Sampling for Robot Manipulation Planning.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Simultaneous Calibration and Mapping.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Appearance-Based Along-Route Localization for Planetary Missions.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Persistent Anytime Learning of Objects from Unseen Classes.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Incremental Semi-Supervised Learning from Streams for Object Classification.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Semantic Labeling of Indoor Environments from 3D RGB Maps.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Selecting CNN features for online learning of 3D objects.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A method for hand-eye and camera-to-camera calibration for limited fields of view.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Experience-based optimization of robotic perception.
Proceedings of the 18th International Conference on Advanced Robotics, 2017

How Robots Learn to Classify New Objects Trained from Small Data Sets.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Introspective classification for robot perception.
Int. J. Robotics Res., 2016

Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks.
CoRR, 2016

Stream-based Active Learning for efficient and adaptive classification of 3D objects.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Ansätze für effizientes und autonomes Lernen in Robotik und Computersehen
, 2015

Semi-supervised online learning for efficient classification of objects in 3D data streams.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Active online confidence boosting for efficient object classification.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015


2014
Two different tools for three-dimensional mapping: DE-based scan matching and feature-based loop detection.
Robotica, 2014

Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data.
Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis.
Proceedings of the British Machine Vision Conference, 2014

2013

Driven Learning for Driving: How Introspection Improves Semantic Mapping.
Proceedings of the Robotics Research, 2013

Knowing when we don't know: Introspective classification for mission-critical decision making.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Semantic categorization of outdoor scenes with uncertainty estimates using multi-class gaussian process classification.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Unsupervised 3D Object Discovery and Categorization for Mobile Robots.
Proceedings of the Robotics Research, 2011

Bayesian on-line learning of driving behaviors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Multiclass Multimodal Detection and Tracking in Urban Environments.
Int. J. Robotics Res., 2010

Segmentation and Unsupervised Part-based Discovery of Repetitive Objects.
Proceedings of the Robotics: Science and Systems VI, 2010

A Bayesian Approach to Learning 3D Representations of Dynamic Environments.
Proceedings of the Experimental Robotics, 2010

Unsupervised discovery of repetitive objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Inferring the semantics of direction signs in public places.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Exploiting Repetitive Object Patterns for Model Compression and Completion.
Proceedings of the Computer Vision - ECCV 2010, 2010

A Layered Approach to People Detection in 3D Range Data.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Medial Features for Superpixel Segmentation.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 2009

Detecting pedestrians at very small scales.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Multiclass Multimodal Detection and Tracking in Urban Environments<sup> * </sup>.
Proceedings of the Field and Service Robotics, Results of the 7th International Conference, 2009

2008
Monte Carlo localization in outdoor terrains using multilevel surface maps.
J. Field Robotics, 2008

Multimodal detection and tracking of pedestrians in urban environments with explicit ground plane extraction.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Multimodal People Detection and Tracking in Crowded Scenes.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Three-dimensional perception for mobile robots.
PhD thesis, 2007

Supervised semantic labeling of places using information extracted from sensor data.
Robotics Auton. Syst., 2007

An Efficient Extension to Elevation Maps for Outdoor Terrain Mapping and Loop Closing.
Int. J. Robotics Res., 2007

Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data.
Proceedings of the IJCAI 2007, 2007

Towards Mapping of Cities.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Recovering the Shape of Objects in 3D Point Clouds with Partial Occlusions.
Proceedings of the Field and Service Robotics, Results of the 6th International Conference, 2007

Monte Carlo Localization in Outdoor Terrains Using Multi-Level Surface Maps.
Proceedings of the Field and Service Robotics, Results of the 6th International Conference, 2007

Active Monte Carlo Localization in Outdoor Terrains Using Multi-level Surface Maps.
Proceedings of the Autonome Mobile Systeme 2007, 2007

2006
Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Robust 3D Scan Point Classification using Associative Markov Networks.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005
Improving plane extraction from 3D data by fusing laser data and vision.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Using Hierarchical EM to Extract Planes from 3D Range Scans.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Learning Accurate Three-Dimensional Models from Range Data using Global Constraints.
Proceedings of the 35. Jahrestagung der Gesellschaft für Informatik, 2005

Improving Simultaneous Mapping and Localization in 3D Using Global Constraints.
Proceedings of the Proceedings, 2005

2003
A system for volumetric robotic mapping of abandoned mines.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Map building with mobile robots in dynamic environments.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003


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